傳統(tǒng)模態(tài)參數(shù)辨識中采用人工激勵方法存在著諸多不足。環(huán)境激勵具有隨機性，且線性系統(tǒng)在環(huán)境激勵下，各輸出點響應之間的相關(guān)函數(shù)與系統(tǒng)的脈沖響應函數(shù)具有相同的數(shù)學表達式。由此，根據(jù)在線模態(tài)參數(shù)識別的理論，提出了一種依據(jù)環(huán)境激勵響
應識別模態(tài)參數(shù)的新方法。即用響應譜值法與奇異值分解法來確定系統(tǒng)階數(shù)，解決特征矩陣的定階問題。該方法簡單實用，能在線識別參數(shù)，適用于單輸入和多輸入，但僅適用于激勵是白噪聲的情況。
關(guān)鍵詞：環(huán)境激勵 模態(tài)分析 參數(shù)識別
中圖分類號：TN830. 7 文獻標識碼：A
Abstract：Some problems exist in conventional modal parameter identification by manual excitation，involving random environmental excitation
and the same math expressions of correlation function among output point responses and system's pulse response function in the linear system
with environmental excitation. A new method for modal parameter identification depending on environmental excitation response is proposed on
the theory of online modal parameter identification. It can utilize response spectrum value and singular value decomposition to determine system
order number，thus completing character matrix ordering. It features easy-to-use，online parameter identification，and single-input，multi-input
and white noise excitation applications.
Keywords：Environmental excitation Modal analysis Parameter identification